code: def configure_optimizers(self):
      return TestClippingOptimizer(self.layer.parameters(), lr=0.1)
  
imports: import os
  import re
  from unittest import mock
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.plugins import MixedPrecision
  from torch import Tensor
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 7 for calling the TestPrecisionModel obj's underlying member method code with example usage: obj.configure_optimizers() and returns: TestClippingOptimizer